Revitalizing the Real Estate Industry with AI Agents
The real estate sector is at a pivotal point, facing numerous structural challenges such as fragmented data, reliance on personal expertise, and lack of cohesive information sharing. To address these issues, AI Data Corporation, based in Tokyo, is hosting the “AI Agent × AX Forum Dec. - Real Estate Tech” on December 11th at the Nikkei Conference Room in Otemachi. This event aims to explore how artificial intelligence (AI) and data integration can drive transformation within the industry.
Existing Challenges in Real Estate
The current landscape of real estate operations is marked by disparate data that include:
- - Property ledgers
- - Contract documents
- - Blueprint data
- - Sales notes
- - Customer management systems (CRM)
- - Project progress management (SFA)
Due to the disjointed nature of this data, decision-making often depends heavily on an individual’s experience or intuition. This results in several chronic issues:
- - Delays in decision-making and project progression
- - Inefficiencies in information sharing and handovers
- - Knowledge retention problems across the organization
These challenges lead to potential losses, be it in projects or clients, due to ineffective organizational structure and mismanaged resources.
The Solution: AI-Driven Revitalization
AI Data Corporation posits that the genesis of a solution involves creating a revitalization system through generative AI, integrated data infrastructure, and AI agents. By unifying disparate data, the real estate industry can benefit from features such as:
- - Cross-sectional searches of properties, contracts, customers, and sales histories
- - Recommendations for similar properties from past projects
- - Automated checks for contracts and progress management
- - AI-driven summaries and knowledge management of sales notes and blueprints
- - Identification of bottlenecks in project progression
The key to revitalizing real estate operations lies in the concept of appointing an